CS 110: Introduction to Computer Science spring 2011
This course provides an introduction to the field of computer
science. You will exercise the creative and logical sides of your brain
like never before, applying them to the development of software. You
will learn the Python programming language, web development tools, and
deploy your projects in the 'cloud' using Google's App Engine. You will
learn about and discuss how technology effects society, and how
computer scientists can help. Most important, you will improve your
problem-solving skills in a manner which will help you in all walks of
life.
Who Should Take the Course?
- Anyone who wants to learn how to program and
develop web apps. No matter what your major or vocation, knowing how
to create software is an important skill and can get you a job. Set yourself up by taking the CS 110-112 sequence.
- Beginners: No prior programming experience required or expected.
- Computer Science majors and minors, or potential ones.
- Other
Majors: Many students who are not computer science majors take this
class and often the next one in the sequence (CS112). The programming
skills learned in this class can lead to getting a job and also towards
a graduate degree in computer science or an interdisciplinary subject.
This class also covers the Core Math B2 requirement. Note that CS also
offers CS 107, which covers Math B2 and moves at a slightly slower, gentler pace than 110.
When and Where TR 2:45-4:20, Harney Science Center, rm. 235
TeachersProfessor: David Wolber
Office: Harney 529
email: wolber@usfca.edu
Office Hours: Tuesdays and Thursdays, 4:20-5. Wednesdays, 9:30-11:30.
TA: Conner McNamara email: connermcnamara@gmail.com
Office Hours: Monday and Friday, 1-2pm, Harney 530/535
Important Dates Presidents Holiday, Monday, 2/21 Midterm 1, Tuesday, March 8 Spring Break, 3/14 -- 3/18 Midterm 2, Thursday, 5/5 Programming Contest (and Final Presentations), Tuesday, 5/17
3:00 PM
Google Group Please join the group at: http://groups.google.com/group/usf-cs-110. You can post questions, see other student questions, communicate with students, professor, TA, etc.
How To Think Like a Computer Scientist (on-line, supplementary)Grading Portfolio cheklists, includes projects and lab assignments 50% Midterms (2) 50%
Software Development Projects There will be a significantly-sized software project due
every two to three weeks. You will have some time in class to work on
these
assignments, but you'll need to spend ample time outside of class to
complete them. These assignments constitute a significant part of your
grade!
Begin them early and visit your professor and teaching assistant
regularly. Unlike a test, you can assure full credit on these projects
through hard work.
Lab Assignments Most days we will have an in-class lab. These labs
typically involve
programming or design. If you're focused, you can sometimes finish them during class. Generally, you'll need to spend time outside of class to complete the. A good time to work
is when your professor and teaching assistant have office hours. For each assignment, it is your responsibility to document your work on your portfolio.PortfolioEverything
you
do should be put on or linked to from your portfolio. If its not on
the portfolio, it doesn't exist! Your portfolio will be checked
periodically during the semester. These deadlines are strict-- any lab
assignments or projects submitted on the portfolio after the
due date will not be given credit..
Attendance and Participation Attendance
is mandatory. The course is lecture/lab, so we do lots of work and hands-on learning in class. Missing a session will set you and everyone back. If you miss more than three sessions,
you will be asked to drop the course.Cheating and Plagiarism Each student is to do his or her own work on the homeworks and projects. It is fine to talk with others about general approaches used to solve the assignments or simply to understand the problem statement, but each student is to develop his or her own solution; collaborative efforts are not allowed. In addition, using solutions from any other source is forbidden. In particular, using solutions (either instructors' or other students') from previous offerings of this course is not allowed. To summarize: all projects and labs are to be individual and original efforts. If
you are caught cheating or plagiarizing (e.g., collaboration, copying
on exams, cutting and pasting text) I will assign you a F for the
course and you will be reported to the Dean. Late Policy Late assignments and labs (checklists) will not be accepted. At the time of the due date, submit the work you have completed.
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